Overview

Brought to you by YData

Dataset statistics

Number of variables44
Number of observations109965
Missing cells16836
Missing cells (%)0.3%
Total size in memory64.5 MiB
Average record size in memory615.5 B

Variable types

Numeric39
Text5

Alerts

Longitud has 5613 (5.1%) missing values Missing
Latitud has 5613 (5.1%) missing values Missing
Altitud has 5610 (5.1%) missing values Missing
Población total is highly skewed (γ1 = 304.6092965) Skewed
Población masculina is highly skewed (γ1 = 304.7117654) Skewed
Población femenina is highly skewed (γ1 = 304.5031274) Skewed
Población de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 300.1402362) Skewed
Población masculina de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 301.6741144) Skewed
Población femenina de 8 a 14 años que no sabe leer y escribir is highly skewed (γ1 = 297.9279572) Skewed
Población de 15 años y más analfabeta is highly skewed (γ1 = 304.2051806) Skewed
Población masculina de 15 años y más analfabeta is highly skewed (γ1 = 305.7217151) Skewed
Población femenina de 15 años y más analfabeta is highly skewed (γ1 = 302.9827645) Skewed
Población de 5 años que no asiste a la escuela is highly skewed (γ1 = 306.2400766) Skewed
Población masculina de 5 años que no asiste a la escuela is highly skewed (γ1 = 306.3136524) Skewed
Población femenina de 5 años que no asiste a la escuela is highly skewed (γ1 = 306.1406352) Skewed
Población de 6 a 11 años que no asiste a la escuela is highly skewed (γ1 = 305.2072131) Skewed
Población de 6 a 14 años que no asiste a la escuela is highly skewed (γ1 = 305.7003041) Skewed
Población masculina de 6 a 14 años que no asiste a la escuela is highly skewed (γ1 = 306.1222722) Skewed
Población femenina de 6 a 14 años que no asiste a la escuela is highly skewed (γ1 = 305.163229) Skewed
Población de 12 a 14 años que no asiste a la escuela is highly skewed (γ1 = 305.5388463) Skewed
Población de 15 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.8288251) Skewed
Población masculina de 15 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.643174) Skewed
Población femenina de 15 a 24 años que asiste a la escuela is highly skewed (γ1 = 302.9927079) Skewed
Población de 15 años y más sin escolaridad is highly skewed (γ1 = 304.8056053) Skewed
Población masculina de 15 años y más sin escolaridad is highly skewed (γ1 = 306.2799381) Skewed
Población femenina de 15 años y más sin escolaridad is highly skewed (γ1 = 303.4954164) Skewed
Población de 15 años y más con educación básica incompleta is highly skewed (γ1 = 306.5976457) Skewed
Población masculina de 15 años y más con educación básica incompleta is highly skewed (γ1 = 307.0351043) Skewed
Población femenina de 15 años y más con educación básica incompleta is highly skewed (γ1 = 306.1613943) Skewed
Población de 15 años y más con educación básica completa is highly skewed (γ1 = 301.6128856) Skewed
Población masculina de 15 años y más con educación básica completa is highly skewed (γ1 = 301.1378343) Skewed
Población femenina de 15 años y más con educación básica completa is highly skewed (γ1 = 302.037739) Skewed
Población de 15 años y más con educación posbásica is highly skewed (γ1 = 298.0490336) Skewed
Población masculina de 15 años y más con educación posbásica is highly skewed (γ1 = 298.1348167) Skewed
Población femenina de 15 años y más con educación posbásica is highly skewed (γ1 = 297.9431748) Skewed
Unnamed: 0 has unique values Unique
Clave de Localidad has 2487 (2.3%) zeros Zeros
Población de 8 a 14 años que no sabe leer y escribir has 52642 (47.9%) zeros Zeros
Población masculina de 8 a 14 años que no sabe leer y escribir has 62388 (56.7%) zeros Zeros
Población femenina de 8 a 14 años que no sabe leer y escribir has 68187 (62.0%) zeros Zeros
Población de 15 años y más analfabeta has 7631 (6.9%) zeros Zeros
Población masculina de 15 años y más analfabeta has 14946 (13.6%) zeros Zeros
Población femenina de 15 años y más analfabeta has 12896 (11.7%) zeros Zeros
Población de 5 años que no asiste a la escuela has 70759 (64.3%) zeros Zeros
Población masculina de 5 años que no asiste a la escuela has 82187 (74.7%) zeros Zeros
Población femenina de 5 años que no asiste a la escuela has 82930 (75.4%) zeros Zeros
Población de 6 a 11 años que no asiste a la escuela has 58057 (52.8%) zeros Zeros
Población de 6 a 14 años que no asiste a la escuela has 33941 (30.9%) zeros Zeros
Población masculina de 6 a 14 años que no asiste a la escuela has 47518 (43.2%) zeros Zeros
Población femenina de 6 a 14 años que no asiste a la escuela has 47800 (43.5%) zeros Zeros
Población de 12 a 14 años que no asiste a la escuela has 42447 (38.6%) zeros Zeros
Población de 15 a 24 años que asiste a la escuela has 27248 (24.8%) zeros Zeros
Población masculina de 15 a 24 años que asiste a la escuela has 38519 (35.0%) zeros Zeros
Población femenina de 15 a 24 años que asiste a la escuela has 38379 (34.9%) zeros Zeros
Población de 15 años y más sin escolaridad has 7997 (7.3%) zeros Zeros
Población masculina de 15 años y más sin escolaridad has 14851 (13.5%) zeros Zeros
Población femenina de 15 años y más sin escolaridad has 13414 (12.2%) zeros Zeros
Población masculina de 15 años y más con educación básica incompleta has 1892 (1.7%) zeros Zeros
Población femenina de 15 años y más con educación básica incompleta has 2601 (2.4%) zeros Zeros
Población de 15 años y más con educación básica completa has 15886 (14.4%) zeros Zeros
Población masculina de 15 años y más con educación básica completa has 24482 (22.3%) zeros Zeros
Población femenina de 15 años y más con educación básica completa has 25280 (23.0%) zeros Zeros
Población de 15 años y más con educación posbásica has 30590 (27.8%) zeros Zeros
Población masculina de 15 años y más con educación posbásica has 40477 (36.8%) zeros Zeros
Población femenina de 15 años y más con educación posbásica has 41167 (37.4%) zeros Zeros

Reproduction

Analysis started2024-10-22 05:48:41.848065
Analysis finished2024-10-22 05:48:44.263588
Duration2.42 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

Unique 

Distinct109965
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100042.9974
Minimum0
Maximum194230
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:44.500546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16959.2
Q159713
median98606
Q3140711
95-th percentile184308.8
Maximum194230
Range194230
Interquartile range (IQR)80998

Descriptive statistics

Standard deviation52247.49431
Coefficient of variation (CV)0.5222503888
Kurtosis-1.01386833
Mean100042.9974
Median Absolute Deviation (MAD)40537
Skewness0.008019892328
Sum1.100122821 × 1010
Variance2729800662
MonotonicityStrictly increasing
2024-10-21T22:48:44.840625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
126004 1
 
< 0.1%
126002 1
 
< 0.1%
126001 1
 
< 0.1%
126000 1
 
< 0.1%
125999 1
 
< 0.1%
125998 1
 
< 0.1%
125997 1
 
< 0.1%
125996 1
 
< 0.1%
125995 1
 
< 0.1%
Other values (109955) 109955
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
ValueCountFrequency (%)
194230 1
< 0.1%
194228 1
< 0.1%
194226 1
< 0.1%
194225 1
< 0.1%
194224 1
< 0.1%
Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.7 MiB
2024-10-21T22:48:45.141623image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length31
Median length19
Mean length11.61679625
Min length6

Characters and Unicode

Total characters1277441
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal nacional
2nd rowTotal nacional
3rd rowTotal nacional
4th rowAguascalientes
5th rowAguascalientes
ValueCountFrequency (%)
de 32483
 
16.0%
veracruz 12485
 
6.1%
ignacio 12485
 
6.1%
la 12485
 
6.1%
llave 12485
 
6.1%
chiapas 10353
 
5.1%
oaxaca 8771
 
4.3%
jalisco 6444
 
3.2%
michoacán 6235
 
3.1%
ocampo 6235
 
3.1%
Other values (37) 83029
40.8%
2024-10-21T22:48:45.549675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 220365
17.3%
93525
 
7.3%
e 89787
 
7.0%
o 85658
 
6.7%
c 74651
 
5.8%
i 68733
 
5.4%
u 64139
 
5.0%
r 59214
 
4.6%
l 54267
 
4.2%
n 44931
 
3.5%
Other values (39) 422171
33.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1277441
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 220365
17.3%
93525
 
7.3%
e 89787
 
7.0%
o 85658
 
6.7%
c 74651
 
5.8%
i 68733
 
5.4%
u 64139
 
5.0%
r 59214
 
4.6%
l 54267
 
4.2%
n 44931
 
3.5%
Other values (39) 422171
33.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1277441
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 220365
17.3%
93525
 
7.3%
e 89787
 
7.0%
o 85658
 
6.7%
c 74651
 
5.8%
i 68733
 
5.4%
u 64139
 
5.0%
r 59214
 
4.6%
l 54267
 
4.2%
n 44931
 
3.5%
Other values (39) 422171
33.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1277441
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 220365
17.3%
93525
 
7.3%
e 89787
 
7.0%
o 85658
 
6.7%
c 74651
 
5.8%
i 68733
 
5.4%
u 64139
 
5.0%
r 59214
 
4.6%
l 54267
 
4.2%
n 44931
 
3.5%
Other values (39) 422171
33.0%

Clave del Municipio
Real number (ℝ)

Distinct571
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.56166053
Minimum0
Maximum570
Zeros99
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:45.733964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median38
Q383
95-th percentile211
Maximum570
Range570
Interquartile range (IQR)68

Descriptive statistics

Standard deviation89.69155093
Coefficient of variation (CV)1.327551014
Kurtosis10.28363104
Mean67.56166053
Median Absolute Deviation (MAD)28
Skewness2.970850757
Sum7429418
Variance8044.574308
MonotonicityNot monotonic
2024-10-21T22:48:45.909211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2620
 
2.4%
1 2515
 
2.3%
2 2392
 
2.2%
17 2226
 
2.0%
8 2160
 
2.0%
9 2038
 
1.9%
4 1949
 
1.8%
14 1917
 
1.7%
6 1758
 
1.6%
7 1723
 
1.6%
Other values (561) 88667
80.6%
ValueCountFrequency (%)
0 99
 
0.1%
1 2515
2.3%
2 2392
2.2%
3 2620
2.4%
4 1949
1.8%
ValueCountFrequency (%)
570 33
< 0.1%
569 27
< 0.1%
568 5
 
< 0.1%
567 14
< 0.1%
566 17
< 0.1%
Distinct2348
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.9 MiB
2024-10-21T22:48:46.183063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length45
Median length36
Mean length12.04608739
Min length3

Characters and Unicode

Total characters1324648
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal nacional
2nd rowTotal nacional
3rd rowTotal nacional
4th rowTotal de la entidad Aguascalientes
5th rowTotal de la entidad Aguascalientes
ValueCountFrequency (%)
de 15686
 
8.1%
san 9547
 
4.9%
la 3215
 
1.7%
del 2817
 
1.5%
santa 2214
 
1.1%
villa 1950
 
1.0%
el 1749
 
0.9%
maría 1737
 
0.9%
santiago 1640
 
0.8%
juan 1589
 
0.8%
Other values (2187) 152029
78.3%
2024-10-21T22:48:46.649755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 189573
14.3%
e 95015
 
7.2%
o 92609
 
7.0%
l 88917
 
6.7%
84211
 
6.4%
n 80594
 
6.1%
i 66796
 
5.0%
t 57642
 
4.4%
u 53460
 
4.0%
c 50573
 
3.8%
Other values (57) 465258
35.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1324648
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 189573
14.3%
e 95015
 
7.2%
o 92609
 
7.0%
l 88917
 
6.7%
84211
 
6.4%
n 80594
 
6.1%
i 66796
 
5.0%
t 57642
 
4.4%
u 53460
 
4.0%
c 50573
 
3.8%
Other values (57) 465258
35.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1324648
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 189573
14.3%
e 95015
 
7.2%
o 92609
 
7.0%
l 88917
 
6.7%
84211
 
6.4%
n 80594
 
6.1%
i 66796
 
5.0%
t 57642
 
4.4%
u 53460
 
4.0%
c 50573
 
3.8%
Other values (57) 465258
35.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1324648
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 189573
14.3%
e 95015
 
7.2%
o 92609
 
7.0%
l 88917
 
6.7%
84211
 
6.4%
n 80594
 
6.1%
i 66796
 
5.0%
t 57642
 
4.4%
u 53460
 
4.0%
c 50573
 
3.8%
Other values (57) 465258
35.1%

Clave de Localidad
Real number (ℝ)

Zeros 

Distinct3001
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.0177784
Minimum0
Maximum9999
Zeros2487
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:46.841734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q123
median77
Q3245
95-th percentile1560.6
Maximum9999
Range9999
Interquartile range (IQR)222

Descriptive statistics

Standard deviation1679.191737
Coefficient of variation (CV)3.358264064
Kurtosis26.19122881
Mean500.0177784
Median Absolute Deviation (MAD)67
Skewness5.181849108
Sum54984455
Variance2819684.888
MonotonicityNot monotonic
2024-10-21T22:48:47.033123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2487
 
2.3%
1 2452
 
2.2%
9998 1709
 
1.6%
2 1510
 
1.4%
9999 1417
 
1.3%
3 1412
 
1.3%
4 1365
 
1.2%
5 1296
 
1.2%
6 1208
 
1.1%
7 1199
 
1.1%
Other values (2991) 93910
85.4%
ValueCountFrequency (%)
0 2487
2.3%
1 2452
2.2%
2 1510
1.4%
3 1412
1.3%
4 1365
1.2%
ValueCountFrequency (%)
9999 1417
1.3%
9998 1709
1.6%
4863 1
 
< 0.1%
4862 1
 
< 0.1%
4861 1
 
< 0.1%
Distinct62569
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size7.2 MiB
2024-10-21T22:48:47.394014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length45
Median length39
Mean length15.81882417
Min length3

Characters and Unicode

Total characters1739517
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54699 ?
Unique (%)49.7%

Sample

1st rowTotal nacional
2nd rowLocalidades de una vivienda
3rd rowLocalidades de dos viviendas
4th rowTotal de la Entidad
5th rowLocalidades de una vivienda
ValueCountFrequency (%)
el 19449
 
6.8%
de 17043
 
6.0%
la 15879
 
5.6%
san 12046
 
4.2%
del 6070
 
2.1%
los 5850
 
2.0%
las 4943
 
1.7%
santa 3610
 
1.3%
localidades 3126
 
1.1%
rancho 2557
 
0.9%
Other values (27792) 195313
68.3%
2024-10-21T22:48:47.916684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 226441
 
13.0%
175921
 
10.1%
o 129641
 
7.5%
e 119458
 
6.9%
l 101663
 
5.8%
i 97330
 
5.6%
n 94675
 
5.4%
r 78441
 
4.5%
s 62192
 
3.6%
d 58461
 
3.4%
Other values (79) 595294
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1739517
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 226441
 
13.0%
175921
 
10.1%
o 129641
 
7.5%
e 119458
 
6.9%
l 101663
 
5.8%
i 97330
 
5.6%
n 94675
 
5.4%
r 78441
 
4.5%
s 62192
 
3.6%
d 58461
 
3.4%
Other values (79) 595294
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1739517
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 226441
 
13.0%
175921
 
10.1%
o 129641
 
7.5%
e 119458
 
6.9%
l 101663
 
5.8%
i 97330
 
5.6%
n 94675
 
5.4%
r 78441
 
4.5%
s 62192
 
3.6%
d 58461
 
3.4%
Other values (79) 595294
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1739517
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 226441
 
13.0%
175921
 
10.1%
o 129641
 
7.5%
e 119458
 
6.9%
l 101663
 
5.8%
i 97330
 
5.6%
n 94675
 
5.4%
r 78441
 
4.5%
s 62192
 
3.6%
d 58461
 
3.4%
Other values (79) 595294
34.2%

Longitud
Real number (ℝ)

Missing 

Distinct49191
Distinct (%)47.1%
Missing5613
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean995887.5254
Minimum864248
Maximum1181533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:48.091863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum864248
5-th percentile921147
Q1970007
median992536.5
Q31021904
95-th percentile1081634.45
Maximum1181533
Range317285
Interquartile range (IQR)51897

Descriptive statistics

Standard deviation49420.87022
Coefficient of variation (CV)0.04962495157
Kurtosis0.7400694083
Mean995887.5254
Median Absolute Deviation (MAD)27577.5
Skewness0.4725075817
Sum1.03922855 × 1011
Variance2442422413
MonotonicityNot monotonic
2024-10-21T22:48:48.283340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990735 12
 
< 0.1%
981627 11
 
< 0.1%
985413 11
 
< 0.1%
993731 11
 
< 0.1%
985628 11
 
< 0.1%
974919 11
 
< 0.1%
922002 11
 
< 0.1%
990647 10
 
< 0.1%
990501 10
 
< 0.1%
970048 10
 
< 0.1%
Other values (49181) 104244
94.8%
(Missing) 5613
 
5.1%
ValueCountFrequency (%)
864248 1
< 0.1%
864309 1
< 0.1%
864317 1
< 0.1%
864329 1
< 0.1%
864337 1
< 0.1%
ValueCountFrequency (%)
1181533 1
< 0.1%
1181529 1
< 0.1%
1171530 1
< 0.1%
1170702 1
< 0.1%
1170605 1
< 0.1%

Latitud
Real number (ℝ)

Missing 

Distinct39779
Distinct (%)38.1%
Missing5613
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean204969.067
Minimum143207
Maximum324255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:48.458567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum143207
5-th percentile161758
Q1181328.75
median200235
Q3220201
95-th percentile273551.9
Maximum324255
Range181048
Interquartile range (IQR)38872.25

Descriptive statistics

Standard deviation35047.47437
Coefficient of variation (CV)0.1709890906
Kurtosis0.8492542944
Mean204969.067
Median Absolute Deviation (MAD)19016
Skewness1.033356045
Sum2.138893208 × 1010
Variance1228325460
MonotonicityNot monotonic
2024-10-21T22:48:48.650054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185948 16
 
< 0.1%
210644 15
 
< 0.1%
191233 14
 
< 0.1%
203246 14
 
< 0.1%
191332 13
 
< 0.1%
203939 13
 
< 0.1%
195954 13
 
< 0.1%
203019 12
 
< 0.1%
205754 12
 
< 0.1%
203702 12
 
< 0.1%
Other values (39769) 104218
94.8%
(Missing) 5613
 
5.1%
ValueCountFrequency (%)
143207 1
< 0.1%
143229 1
< 0.1%
143234 1
< 0.1%
143345 1
< 0.1%
143347 1
< 0.1%
ValueCountFrequency (%)
324255 1
< 0.1%
324245 1
< 0.1%
324216 1
< 0.1%
324210 1
< 0.1%
324208 1
< 0.1%

Altitud
Real number (ℝ)

Missing 

Distinct2583
Distinct (%)2.5%
Missing5610
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean1155.300024
Minimum-3
Maximum4600
Zeros76
Zeros (%)0.1%
Negative2
Negative (%)< 0.1%
Memory size859.2 KiB
2024-10-21T22:48:48.833442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile10
Q1220
median1200
Q31920
95-th percentile2480
Maximum4600
Range4603
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation871.0434196
Coefficient of variation (CV)0.7539542989
Kurtosis-1.375080394
Mean1155.300024
Median Absolute Deviation (MAD)820
Skewness0.07226470508
Sum120561334
Variance758716.6389
MonotonicityNot monotonic
2024-10-21T22:48:49.016811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 4645
 
4.2%
20 2950
 
2.7%
40 1807
 
1.6%
30 1451
 
1.3%
100 1391
 
1.3%
60 1334
 
1.2%
80 1254
 
1.1%
50 1043
 
0.9%
1900 944
 
0.9%
2000 942
 
0.9%
Other values (2573) 86594
78.7%
(Missing) 5610
 
5.1%
ValueCountFrequency (%)
-3 2
 
< 0.1%
0 76
0.1%
1 107
0.1%
2 109
0.1%
3 117
0.1%
ValueCountFrequency (%)
4600 1
< 0.1%
3531 1
< 0.1%
3433 1
< 0.1%
3431 1
< 0.1%
3400 1
< 0.1%

Población total
Real number (ℝ)

Skewed 

Distinct6836
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3764.019615
Minimum2
Maximum103263388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:49.191995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q128
median94
Q3324
95-th percentile2390.8
Maximum103263388
Range103263386
Interquartile range (IQR)296

Descriptive statistics

Standard deviation320808.2965
Coefficient of variation (CV)85.23024035
Kurtosis97655.83633
Mean3764.019615
Median Absolute Deviation (MAD)78
Skewness304.6092965
Sum413910417
Variance1.029179631 × 1011
MonotonicityNot monotonic
2024-10-21T22:48:49.385257image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 1597
 
1.5%
16 1589
 
1.4%
13 1582
 
1.4%
15 1559
 
1.4%
12 1554
 
1.4%
11 1485
 
1.4%
17 1445
 
1.3%
18 1442
 
1.3%
19 1267
 
1.2%
10 1248
 
1.1%
Other values (6826) 95197
86.6%
ValueCountFrequency (%)
2 7
 
< 0.1%
3 81
 
0.1%
4 166
0.2%
5 259
0.2%
6 410
0.4%
ValueCountFrequency (%)
103263388 1
< 0.1%
14007495 1
< 0.1%
8720916 1
< 0.1%
7110214 1
< 0.1%
6752113 1
< 0.1%

Población masculina
Real number (ℝ)

Skewed 

Distinct5074
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1832.280726
Minimum0
Maximum50249955
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:49.566833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median47
Q3160
95-th percentile1164
Maximum50249955
Range50249955
Interquartile range (IQR)146

Descriptive statistics

Standard deviation156092.5098
Coefficient of variation (CV)85.19028096
Kurtosis97703.20354
Mean1832.280726
Median Absolute Deviation (MAD)39
Skewness304.7117654
Sum201486750
Variance2.436487162 × 1010
MonotonicityNot monotonic
2024-10-21T22:48:49.758699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 3063
 
2.8%
9 2901
 
2.6%
8 2899
 
2.6%
6 2826
 
2.6%
10 2507
 
2.3%
5 2444
 
2.2%
11 2343
 
2.1%
12 2052
 
1.9%
13 1911
 
1.7%
14 1801
 
1.6%
Other values (5064) 85218
77.5%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 36
 
< 0.1%
2 268
 
0.2%
3 983
0.9%
4 1794
1.6%
ValueCountFrequency (%)
50249955 1
< 0.1%
6832822 1
< 0.1%
4171683 1
< 0.1%
3423379 1
< 0.1%
3278822 1
< 0.1%

Población femenina
Real number (ℝ)

Skewed 

Distinct5229
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1931.73889
Minimum0
Maximum53013433
Zeros124
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:49.942780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median47
Q3164
95-th percentile1226.8
Maximum53013433
Range53013433
Interquartile range (IQR)150

Descriptive statistics

Standard deviation164717.5721
Coefficient of variation (CV)85.26906661
Kurtosis97606.76369
Mean1931.73889
Median Absolute Deviation (MAD)39
Skewness304.5031274
Sum212423667
Variance2.713187854 × 1010
MonotonicityNot monotonic
2024-10-21T22:48:50.133576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2913
 
2.6%
8 2857
 
2.6%
6 2782
 
2.5%
9 2669
 
2.4%
5 2632
 
2.4%
10 2300
 
2.1%
11 2240
 
2.0%
12 2037
 
1.9%
4 1921
 
1.7%
13 1896
 
1.7%
Other values (5219) 85718
78.0%
ValueCountFrequency (%)
0 124
 
0.1%
1 281
 
0.3%
2 661
 
0.6%
3 1277
1.2%
4 1921
1.7%
ValueCountFrequency (%)
53013433 1
< 0.1%
7174673 1
< 0.1%
4549233 1
< 0.1%
3686835 1
< 0.1%
3473291 1
< 0.1%
Distinct707
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.09693084
Minimum0
Maximum465838
Zeros52642
Zeros (%)47.9%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:50.316810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile21
Maximum465838
Range465838
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1455.780421
Coefficient of variation (CV)85.14864068
Kurtosis95419.41943
Mean17.09693084
Median Absolute Deviation (MAD)1
Skewness300.1402362
Sum1880064
Variance2119296.634
MonotonicityNot monotonic
2024-10-21T22:48:50.500255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52642
47.9%
1 17336
 
15.8%
2 9474
 
8.6%
3 6056
 
5.5%
4 4120
 
3.7%
5 2919
 
2.7%
6 2164
 
2.0%
7 1747
 
1.6%
8 1367
 
1.2%
9 1059
 
1.0%
Other values (697) 11081
 
10.1%
ValueCountFrequency (%)
0 52642
47.9%
1 17336
 
15.8%
2 9474
 
8.6%
3 6056
 
5.5%
4 4120
 
3.7%
ValueCountFrequency (%)
465838 1
< 0.1%
70834 1
< 0.1%
52099 1
< 0.1%
46079 1
< 0.1%
38242 1
< 0.1%
Distinct526
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.536561633
Minimum0
Maximum259824
Zeros62388
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:50.675436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum259824
Range259824
Interquartile range (IQR)2

Descriptive statistics

Standard deviation810.3095815
Coefficient of variation (CV)84.96873535
Kurtosis96184.67505
Mean9.536561633
Median Absolute Deviation (MAD)0
Skewness301.6741144
Sum1048688
Variance656601.618
MonotonicityNot monotonic
2024-10-21T22:48:50.858847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62388
56.7%
1 17672
 
16.1%
2 8610
 
7.8%
3 4879
 
4.4%
4 3199
 
2.9%
5 2178
 
2.0%
6 1499
 
1.4%
7 1184
 
1.1%
8 899
 
0.8%
9 689
 
0.6%
Other values (516) 6768
 
6.2%
ValueCountFrequency (%)
0 62388
56.7%
1 17672
 
16.1%
2 8610
 
7.8%
3 4879
 
4.4%
4 3199
 
2.9%
ValueCountFrequency (%)
259824 1
< 0.1%
35333 1
< 0.1%
29255 1
< 0.1%
24737 1
< 0.1%
20780 1
< 0.1%
Distinct466
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.560369208
Minimum0
Maximum206014
Zeros68187
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:51.042130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum206014
Range206014
Interquartile range (IQR)1

Descriptive statistics

Standard deviation645.7622694
Coefficient of variation (CV)85.41411823
Kurtosis94305.03976
Mean7.560369208
Median Absolute Deviation (MAD)0
Skewness297.9279572
Sum831376
Variance417008.9086
MonotonicityNot monotonic
2024-10-21T22:48:51.208919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68187
62.0%
1 16830
 
15.3%
2 7575
 
6.9%
3 4070
 
3.7%
4 2496
 
2.3%
5 1732
 
1.6%
6 1235
 
1.1%
7 909
 
0.8%
8 740
 
0.7%
9 533
 
0.5%
Other values (456) 5658
 
5.1%
ValueCountFrequency (%)
0 68187
62.0%
1 16830
 
15.3%
2 7575
 
6.9%
3 4070
 
3.7%
4 2496
 
2.3%
ValueCountFrequency (%)
206014 1
< 0.1%
35501 1
< 0.1%
22844 1
< 0.1%
21342 1
< 0.1%
17462 1
< 0.1%

Población de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct2460
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.242077
Minimum0
Maximum5747806
Zeros7631
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:51.385951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q338
95-th percentile235
Maximum5747806
Range5747806
Interquartile range (IQR)35

Descriptive statistics

Standard deviation17866.69402
Coefficient of variation (CV)84.98153308
Kurtosis97434.51541
Mean210.242077
Median Absolute Deviation (MAD)10
Skewness304.2051806
Sum23119270
Variance319218755.3
MonotonicityNot monotonic
2024-10-21T22:48:51.567073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7631
 
6.9%
1 7226
 
6.6%
2 7064
 
6.4%
3 5952
 
5.4%
4 5195
 
4.7%
5 4669
 
4.2%
6 3844
 
3.5%
7 3370
 
3.1%
8 2920
 
2.7%
9 2597
 
2.4%
Other values (2450) 59497
54.1%
ValueCountFrequency (%)
0 7631
6.9%
1 7226
6.6%
2 7064
6.4%
3 5952
5.4%
4 5195
4.7%
ValueCountFrequency (%)
5747806 1
< 0.1%
651469 1
< 0.1%
560430 1
< 0.1%
491127 1
< 0.1%
441699 1
< 0.1%

Población masculina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1618
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.66307461
Minimum0
Maximum2228120
Zeros14946
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:51.758958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q316
95-th percentile92
Maximum2228120
Range2228120
Interquartile range (IQR)15

Descriptive statistics

Standard deviation6913.18683
Coefficient of variation (CV)84.6549908
Kurtosis98150.56067
Mean81.66307461
Median Absolute Deviation (MAD)4
Skewness305.7217151
Sum8980080
Variance47792152.14
MonotonicityNot monotonic
2024-10-21T22:48:51.935751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14946
 
13.6%
1 13536
 
12.3%
2 10421
 
9.5%
3 7850
 
7.1%
4 6097
 
5.5%
5 4891
 
4.4%
6 4133
 
3.8%
7 3447
 
3.1%
8 3148
 
2.9%
9 2674
 
2.4%
Other values (1608) 38822
35.3%
ValueCountFrequency (%)
0 14946
13.6%
1 13536
12.3%
2 10421
9.5%
3 7850
7.1%
4 6097
5.5%
ValueCountFrequency (%)
2228120 1
< 0.1%
250004 1
< 0.1%
204371 1
< 0.1%
157023 1
< 0.1%
155715 1
< 0.1%

Población femenina de 15 años y más analfabeta
Real number (ℝ)

Skewed  Zeros 

Distinct1952
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5790024
Minimum0
Maximum3519686
Zeros12896
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:52.107939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q322
95-th percentile144
Maximum3519686
Range3519686
Interquartile range (IQR)20

Descriptive statistics

Standard deviation10957.17119
Coefficient of variation (CV)85.21742263
Kurtosis96856.6678
Mean128.5790024
Median Absolute Deviation (MAD)5
Skewness302.9827645
Sum14139190
Variance120059600.5
MonotonicityNot monotonic
2024-10-21T22:48:52.292331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12896
 
11.7%
1 11783
 
10.7%
2 9447
 
8.6%
3 7277
 
6.6%
4 5586
 
5.1%
5 4650
 
4.2%
6 3821
 
3.5%
7 3166
 
2.9%
8 3001
 
2.7%
9 2581
 
2.3%
Other values (1942) 45757
41.6%
ValueCountFrequency (%)
0 12896
11.7%
1 11783
10.7%
2 9447
8.6%
3 7277
6.6%
4 5586
5.1%
ValueCountFrequency (%)
3519686 1
< 0.1%
401465 1
< 0.1%
356059 1
< 0.1%
334104 1
< 0.1%
285984 1
< 0.1%

Población de 5 años que no asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct442
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.70343291
Minimum0
Maximum182746
Zeros70759
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:52.475716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum182746
Range182746
Interquartile range (IQR)1

Descriptive statistics

Standard deviation566.5884696
Coefficient of variation (CV)84.52213622
Kurtosis98434.29186
Mean6.70343291
Median Absolute Deviation (MAD)0
Skewness306.2400766
Sum737143
Variance321022.4939
MonotonicityNot monotonic
2024-10-21T22:48:52.658984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70759
64.3%
1 18771
 
17.1%
2 7040
 
6.4%
3 3429
 
3.1%
4 1987
 
1.8%
5 1238
 
1.1%
6 887
 
0.8%
7 700
 
0.6%
8 493
 
0.4%
9 422
 
0.4%
Other values (432) 4239
 
3.9%
ValueCountFrequency (%)
0 70759
64.3%
1 18771
 
17.1%
2 7040
 
6.4%
3 3429
 
3.1%
4 1987
 
1.8%
ValueCountFrequency (%)
182746 1
< 0.1%
19443 1
< 0.1%
16237 1
< 0.1%
14777 1
< 0.1%
12046 1
< 0.1%
Distinct309
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.43922157
Minimum0
Maximum93744
Zeros82187
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:52.851967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum93744
Range93744
Interquartile range (IQR)1

Descriptive statistics

Standard deviation290.616889
Coefficient of variation (CV)84.50077525
Kurtosis98472.09615
Mean3.43922157
Median Absolute Deviation (MAD)0
Skewness306.3136524
Sum378194
Variance84458.17616
MonotonicityNot monotonic
2024-10-21T22:48:53.035382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82187
74.7%
1 15069
 
13.7%
2 4766
 
4.3%
3 2028
 
1.8%
4 1173
 
1.1%
5 758
 
0.7%
6 532
 
0.5%
7 358
 
0.3%
8 303
 
0.3%
9 202
 
0.2%
Other values (299) 2589
 
2.4%
ValueCountFrequency (%)
0 82187
74.7%
1 15069
 
13.7%
2 4766
 
4.3%
3 2028
 
1.8%
4 1173
 
1.1%
ValueCountFrequency (%)
93744 1
< 0.1%
9962 1
< 0.1%
8220 1
< 0.1%
7370 1
< 0.1%
6152 1
< 0.1%
Distinct305
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.26421134
Minimum0
Maximum89002
Zeros82930
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:53.210525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum89002
Range89002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation275.9786828
Coefficient of variation (CV)84.54681822
Kurtosis98384.43658
Mean3.26421134
Median Absolute Deviation (MAD)0
Skewness306.1406352
Sum358949
Variance76164.23336
MonotonicityNot monotonic
2024-10-21T22:48:53.385300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82930
75.4%
1 14815
 
13.5%
2 4574
 
4.2%
3 2096
 
1.9%
4 1007
 
0.9%
5 692
 
0.6%
6 465
 
0.4%
7 368
 
0.3%
8 282
 
0.3%
9 247
 
0.2%
Other values (295) 2489
 
2.3%
ValueCountFrequency (%)
0 82930
75.4%
1 14815
 
13.5%
2 4574
 
4.2%
3 2096
 
1.9%
4 1007
 
0.9%
ValueCountFrequency (%)
89002 1
< 0.1%
9481 1
< 0.1%
8017 1
< 0.1%
7407 1
< 0.1%
5894 1
< 0.1%
Distinct656
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.25197108
Minimum0
Maximum387896
Zeros58057
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:53.559143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum387896
Range387896
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1204.170824
Coefficient of variation (CV)84.49152875
Kurtosis97939.97879
Mean14.25197108
Median Absolute Deviation (MAD)0
Skewness305.2072131
Sum1567218
Variance1450027.374
MonotonicityNot monotonic
2024-10-21T22:48:53.759160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58057
52.8%
1 19200
 
17.5%
2 9411
 
8.6%
3 5463
 
5.0%
4 3537
 
3.2%
5 2364
 
2.1%
6 1690
 
1.5%
7 1295
 
1.2%
8 935
 
0.9%
9 736
 
0.7%
Other values (646) 7277
 
6.6%
ValueCountFrequency (%)
0 58057
52.8%
1 19200
 
17.5%
2 9411
 
8.6%
3 5463
 
5.0%
4 3537
 
3.2%
ValueCountFrequency (%)
387896 1
< 0.1%
41384 1
< 0.1%
40534 1
< 0.1%
31566 1
< 0.1%
24732 1
< 0.1%
Distinct1063
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.48916473
Minimum0
Maximum1022406
Zeros33941
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:53.952333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile35
Maximum1022406
Range1022406
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3171.979282
Coefficient of variation (CV)84.61056161
Kurtosis98175.92192
Mean37.48916473
Median Absolute Deviation (MAD)2
Skewness305.7003041
Sum4122496
Variance10061452.57
MonotonicityNot monotonic
2024-10-21T22:48:54.159175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33941
30.9%
1 17832
16.2%
2 11453
 
10.4%
3 7947
 
7.2%
4 5905
 
5.4%
5 4538
 
4.1%
6 3652
 
3.3%
7 2803
 
2.5%
8 2234
 
2.0%
9 1817
 
1.7%
Other values (1053) 17843
16.2%
ValueCountFrequency (%)
0 33941
30.9%
1 17832
16.2%
2 11453
 
10.4%
3 7947
 
7.2%
4 5905
 
5.4%
ValueCountFrequency (%)
1022406 1
< 0.1%
105209 1
< 0.1%
91693 1
< 0.1%
81019 1
< 0.1%
74113 1
< 0.1%
Distinct753
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.07376893
Minimum0
Maximum520033
Zeros47518
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:54.410205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile18
Maximum520033
Range520033
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1612.540709
Coefficient of variation (CV)84.54232172
Kurtosis98379.30281
Mean19.07376893
Median Absolute Deviation (MAD)1
Skewness306.1222722
Sum2097447
Variance2600287.538
MonotonicityNot monotonic
2024-10-21T22:48:54.592572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47518
43.2%
1 20285
18.4%
2 11265
 
10.2%
3 7039
 
6.4%
4 4621
 
4.2%
5 3118
 
2.8%
6 2348
 
2.1%
7 1762
 
1.6%
8 1377
 
1.3%
9 1084
 
1.0%
Other values (743) 9548
 
8.7%
ValueCountFrequency (%)
0 47518
43.2%
1 20285
18.4%
2 11265
 
10.2%
3 7039
 
6.4%
4 4621
 
4.2%
ValueCountFrequency (%)
520033 1
< 0.1%
53177 1
< 0.1%
42202 1
< 0.1%
40899 1
< 0.1%
39472 1
< 0.1%
Distinct738
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.41539581
Minimum0
Maximum502373
Zeros47800
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:54.825922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile18
Maximum502373
Range502373
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1559.639849
Coefficient of variation (CV)84.69217091
Kurtosis97916.28667
Mean18.41539581
Median Absolute Deviation (MAD)1
Skewness305.163229
Sum2025049
Variance2432476.459
MonotonicityNot monotonic
2024-10-21T22:48:55.059297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47800
43.5%
1 20104
18.3%
2 11319
 
10.3%
3 6942
 
6.3%
4 4492
 
4.1%
5 3151
 
2.9%
6 2377
 
2.2%
7 1754
 
1.6%
8 1283
 
1.2%
9 1092
 
1.0%
Other values (728) 9651
 
8.8%
ValueCountFrequency (%)
0 47800
43.5%
1 20104
18.3%
2 11319
 
10.3%
3 6942
 
6.3%
4 4492
 
4.1%
ValueCountFrequency (%)
502373 1
< 0.1%
52032 1
< 0.1%
49491 1
< 0.1%
40120 1
< 0.1%
36979 1
< 0.1%
Distinct829
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.23719365
Minimum0
Maximum634510
Zeros42447
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:55.235802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile23
Maximum634510
Range634510
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1968.94027
Coefficient of variation (CV)84.73227443
Kurtosis98097.58976
Mean23.23719365
Median Absolute Deviation (MAD)1
Skewness305.5388463
Sum2555278
Variance3876725.785
MonotonicityNot monotonic
2024-10-21T22:48:55.417452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42447
38.6%
1 19796
18.0%
2 11557
 
10.5%
3 7292
 
6.6%
4 5161
 
4.7%
5 3716
 
3.4%
6 2726
 
2.5%
7 2066
 
1.9%
8 1693
 
1.5%
9 1263
 
1.1%
Other values (819) 12248
 
11.1%
ValueCountFrequency (%)
0 42447
38.6%
1 19796
18.0%
2 11557
 
10.5%
3 7292
 
6.6%
4 5161
 
4.7%
ValueCountFrequency (%)
634510 1
< 0.1%
64675 1
< 0.1%
50309 1
< 0.1%
50276 1
< 0.1%
49453 1
< 0.1%

Población de 15 a 24 años que asiste a la escuela
Real number (ℝ)

Skewed  Zeros 

Distinct2193
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.9429091
Minimum0
Maximum7220028
Zeros27248
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:55.600753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile134
Maximum7220028
Range7220028
Interquartile range (IQR)13

Descriptive statistics

Standard deviation22478.29379
Coefficient of variation (CV)85.48735489
Kurtosis96834.54733
Mean262.9429091
Median Absolute Deviation (MAD)3
Skewness302.8288251
Sum28914517
Variance505273691.6
MonotonicityNot monotonic
2024-10-21T22:48:56.841682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27248
24.8%
1 13925
12.7%
2 9324
 
8.5%
3 6677
 
6.1%
4 4929
 
4.5%
5 3885
 
3.5%
6 3256
 
3.0%
7 2706
 
2.5%
8 2367
 
2.2%
9 1987
 
1.8%
Other values (2183) 33661
30.6%
ValueCountFrequency (%)
0 27248
24.8%
1 13925
12.7%
2 9324
 
8.5%
3 6677
 
6.1%
4 4929
 
4.5%
ValueCountFrequency (%)
7220028 1
< 0.1%
989638 1
< 0.1%
753878 1
< 0.1%
513410 1
< 0.1%
449661 1
< 0.1%
Distinct1626
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.0889283
Minimum0
Maximum3598691
Zeros38519
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:57.067665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile66
Maximum3598691
Range3598691
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11206.44802
Coefficient of variation (CV)85.48737231
Kurtosis96747.43489
Mean131.0889283
Median Absolute Deviation (MAD)1
Skewness302.643174
Sum14415194
Variance125584477.2
MonotonicityNot monotonic
2024-10-21T22:48:57.292883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38519
35.0%
1 16532
15.0%
2 9643
 
8.8%
3 6256
 
5.7%
4 4538
 
4.1%
5 3590
 
3.3%
6 2812
 
2.6%
7 2306
 
2.1%
8 1996
 
1.8%
9 1600
 
1.5%
Other values (1616) 22173
20.2%
ValueCountFrequency (%)
0 38519
35.0%
1 16532
15.0%
2 9643
 
8.8%
3 6256
 
5.7%
4 4538
 
4.1%
ValueCountFrequency (%)
3598691 1
< 0.1%
495378 1
< 0.1%
380661 1
< 0.1%
255589 1
< 0.1%
221081 1
< 0.1%
Distinct1626
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.8539808
Minimum0
Maximum3621337
Zeros38379
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:57.498480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile68
Maximum3621337
Range3621337
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11272.12401
Coefficient of variation (CV)85.48944783
Kurtosis96911.70218
Mean131.8539808
Median Absolute Deviation (MAD)2
Skewness302.9927079
Sum14499323
Variance127060779.8
MonotonicityNot monotonic
2024-10-21T22:48:57.709544image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38379
34.9%
1 15964
14.5%
2 9769
 
8.9%
3 6311
 
5.7%
4 4614
 
4.2%
5 3521
 
3.2%
6 2853
 
2.6%
7 2361
 
2.1%
8 2019
 
1.8%
9 1657
 
1.5%
Other values (1616) 22517
20.5%
ValueCountFrequency (%)
0 38379
34.9%
1 15964
14.5%
2 9769
 
8.9%
3 6311
 
5.7%
4 4614
 
4.2%
ValueCountFrequency (%)
3621337 1
< 0.1%
494260 1
< 0.1%
373217 1
< 0.1%
257821 1
< 0.1%
228580 1
< 0.1%

Población de 15 años y más sin escolaridad
Real number (ℝ)

Skewed  Zeros 

Distinct2460
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.885509
Minimum0
Maximum5791891
Zeros7997
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:57.934432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11
Q336
95-th percentile223
Maximum5791891
Range5791891
Interquartile range (IQR)33

Descriptive statistics

Standard deviation17989.81847
Coefficient of variation (CV)84.90348656
Kurtosis97731.54137
Mean211.885509
Median Absolute Deviation (MAD)10
Skewness304.8056053
Sum23299990
Variance323633568.5
MonotonicityNot monotonic
2024-10-21T22:48:58.184406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7997
 
7.3%
1 7254
 
6.6%
2 7023
 
6.4%
3 6025
 
5.5%
4 5349
 
4.9%
5 4622
 
4.2%
6 3922
 
3.6%
7 3544
 
3.2%
8 3044
 
2.8%
9 2658
 
2.4%
Other values (2450) 58527
53.2%
ValueCountFrequency (%)
0 7997
7.3%
1 7254
6.6%
2 7023
6.4%
3 6025
5.5%
4 5349
4.9%
ValueCountFrequency (%)
5791891 1
< 0.1%
626762 1
< 0.1%
534842 1
< 0.1%
522070 1
< 0.1%
414052 1
< 0.1%
Distinct1649
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.92498522
Minimum0
Maximum2344282
Zeros14851
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:58.405150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile91
Maximum2344282
Range2344282
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7268.345465
Coefficient of variation (CV)84.58942933
Kurtosis98429.96599
Mean85.92498522
Median Absolute Deviation (MAD)4
Skewness306.2799381
Sum9448741
Variance52828845.81
MonotonicityNot monotonic
2024-10-21T22:48:58.600964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14851
 
13.5%
1 13440
 
12.2%
2 10569
 
9.6%
3 8081
 
7.3%
4 6167
 
5.6%
5 5020
 
4.6%
6 4193
 
3.8%
7 3542
 
3.2%
8 3050
 
2.8%
9 2708
 
2.5%
Other values (1639) 38344
34.9%
ValueCountFrequency (%)
0 14851
13.5%
1 13440
12.2%
2 10569
9.6%
3 8081
7.3%
4 6167
5.6%
ValueCountFrequency (%)
2344282 1
< 0.1%
246228 1
< 0.1%
200274 1
< 0.1%
178988 1
< 0.1%
161144 1
< 0.1%
Distinct1924
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.9605238
Minimum0
Maximum3447609
Zeros13414
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:58.808568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q320
95-th percentile134
Maximum3447609
Range3447609
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10725.68747
Coefficient of variation (CV)85.15118184
Kurtosis97109.5308
Mean125.9605238
Median Absolute Deviation (MAD)5
Skewness303.4954164
Sum13851249
Variance115040371.6
MonotonicityNot monotonic
2024-10-21T22:48:59.105048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13414
 
12.2%
1 12137
 
11.0%
2 9597
 
8.7%
3 7467
 
6.8%
4 5795
 
5.3%
5 4778
 
4.3%
6 3899
 
3.5%
7 3268
 
3.0%
8 2962
 
2.7%
9 2606
 
2.4%
Other values (1914) 44042
40.1%
ValueCountFrequency (%)
0 13414
12.2%
1 12137
11.0%
2 9597
8.7%
3 7467
6.8%
4 5795
5.3%
ValueCountFrequency (%)
3447609 1
< 0.1%
380534 1
< 0.1%
343082 1
< 0.1%
334568 1
< 0.1%
264363 1
< 0.1%
Distinct4233
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925.4644387
Minimum0
Maximum25358083
Zeros726
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:59.343043image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median32
Q3109
95-th percentile739
Maximum25358083
Range25358083
Interquartile range (IQR)99

Descriptive statistics

Standard deviation78587.81979
Coefficient of variation (CV)84.91716862
Kurtosis98599.96023
Mean925.4644387
Median Absolute Deviation (MAD)27
Skewness306.5976457
Sum101768697
Variance6176045420
MonotonicityNot monotonic
2024-10-21T22:48:59.598214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3852
 
3.5%
5 3831
 
3.5%
4 3499
 
3.2%
7 3318
 
3.0%
8 3034
 
2.8%
3 2984
 
2.7%
9 2747
 
2.5%
10 2377
 
2.2%
11 2285
 
2.1%
2 2031
 
1.8%
Other values (4223) 80007
72.8%
ValueCountFrequency (%)
0 726
 
0.7%
1 1193
 
1.1%
2 2031
1.8%
3 2984
2.7%
4 3499
3.2%
ValueCountFrequency (%)
25358083 1
< 0.1%
2989386 1
< 0.1%
2037965 1
< 0.1%
1791498 1
< 0.1%
1592511 1
< 0.1%
Distinct3099
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean436.0986132
Minimum0
Maximum11939145
Zeros1892
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:48:59.817946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q354
95-th percentile358
Maximum11939145
Range11939145
Interquartile range (IQR)49

Descriptive statistics

Standard deviation36981.51619
Coefficient of variation (CV)84.80081126
Kurtosis98804.75548
Mean436.0986132
Median Absolute Deviation (MAD)13
Skewness307.0351043
Sum47955584
Variance1367632540
MonotonicityNot monotonic
2024-10-21T22:49:00.017909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 6833
 
6.2%
2 6421
 
5.8%
4 5820
 
5.3%
5 4916
 
4.5%
1 4184
 
3.8%
6 4020
 
3.7%
7 3381
 
3.1%
8 2922
 
2.7%
9 2537
 
2.3%
10 2267
 
2.1%
Other values (3089) 66664
60.6%
ValueCountFrequency (%)
0 1892
 
1.7%
1 4184
3.8%
2 6421
5.8%
3 6833
6.2%
4 5820
5.3%
ValueCountFrequency (%)
11939145 1
< 0.1%
1380668 1
< 0.1%
967798 1
< 0.1%
832087 1
< 0.1%
689961 1
< 0.1%
Distinct3216
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean489.3658255
Minimum0
Maximum13418938
Zeros2601
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:00.259705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median15
Q354
95-th percentile383
Maximum13418938
Range13418938
Interquartile range (IQR)49

Descriptive statistics

Standard deviation41608.70004
Coefficient of variation (CV)85.02575757
Kurtosis98395.74238
Mean489.3658255
Median Absolute Deviation (MAD)13
Skewness306.1613943
Sum53813113
Variance1731283919
MonotonicityNot monotonic
2024-10-21T22:49:00.509880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 6911
 
6.3%
2 6804
 
6.2%
4 5796
 
5.3%
1 4860
 
4.4%
5 4668
 
4.2%
6 3977
 
3.6%
7 3206
 
2.9%
8 2795
 
2.5%
0 2601
 
2.4%
9 2462
 
2.2%
Other values (3206) 65885
59.9%
ValueCountFrequency (%)
0 2601
 
2.4%
1 4860
4.4%
2 6804
6.2%
3 6911
6.3%
4 5796
5.3%
ValueCountFrequency (%)
13418938 1
< 0.1%
1608718 1
< 0.1%
1070167 1
< 0.1%
959411 1
< 0.1%
902550 1
< 0.1%
Distinct2986
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529.3802301
Minimum0
Maximum14533348
Zeros15886
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:00.694100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q332
95-th percentile305.8
Maximum14533348
Range14533348
Interquartile range (IQR)30

Descriptive statistics

Standard deviation45327.14466
Coefficient of variation (CV)85.62304008
Kurtosis96179.81315
Mean529.3802301
Median Absolute Deviation (MAD)7
Skewness301.6128856
Sum58213297
Variance2054550043
MonotonicityNot monotonic
2024-10-21T22:49:00.885977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15886
 
14.4%
1 10791
 
9.8%
2 8268
 
7.5%
3 6421
 
5.8%
4 4947
 
4.5%
5 4024
 
3.7%
6 3242
 
2.9%
7 2805
 
2.6%
8 2417
 
2.2%
9 2055
 
1.9%
Other values (2976) 49109
44.7%
ValueCountFrequency (%)
0 15886
14.4%
1 10791
9.8%
2 8268
7.5%
3 6421
5.8%
4 4947
 
4.5%
ValueCountFrequency (%)
14533348 1
< 0.1%
2358362 1
< 0.1%
1373309 1
< 0.1%
939039 1
< 0.1%
838926 1
< 0.1%
Distinct2227
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.5815487
Minimum0
Maximum7179086
Zeros24482
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:01.068078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q316
95-th percentile154
Maximum7179086
Range7179086
Interquartile range (IQR)15

Descriptive statistics

Standard deviation22405.26892
Coefficient of variation (CV)85.65309377
Kurtosis95933.97923
Mean261.5815487
Median Absolute Deviation (MAD)4
Skewness301.1378343
Sum28764815
Variance501996075.3
MonotonicityNot monotonic
2024-10-21T22:49:01.252771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24482
22.3%
1 14408
 
13.1%
2 9428
 
8.6%
3 6470
 
5.9%
4 4800
 
4.4%
5 3863
 
3.5%
6 3139
 
2.9%
7 2657
 
2.4%
8 2329
 
2.1%
9 1891
 
1.7%
Other values (2217) 36498
33.2%
ValueCountFrequency (%)
0 24482
22.3%
1 14408
13.1%
2 9428
 
8.6%
3 6470
 
5.9%
4 4800
 
4.4%
ValueCountFrequency (%)
7179086 1
< 0.1%
1204713 1
< 0.1%
675680 1
< 0.1%
450357 1
< 0.1%
409169 1
< 0.1%
Distinct2249
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.7986814
Minimum0
Maximum7354262
Zeros25280
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:01.434765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q316
95-th percentile151.8
Maximum7354262
Range7354262
Interquartile range (IQR)15

Descriptive statistics

Standard deviation22923.14588
Coefficient of variation (CV)85.598427
Kurtosis96400.14003
Mean267.7986814
Median Absolute Deviation (MAD)3
Skewness302.037739
Sum29448482
Variance525470617
MonotonicityNot monotonic
2024-10-21T22:49:01.625603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25280
23.0%
1 14656
13.3%
2 9274
 
8.4%
3 6441
 
5.9%
4 4741
 
4.3%
5 3691
 
3.4%
6 3077
 
2.8%
7 2545
 
2.3%
8 2162
 
2.0%
9 1953
 
1.8%
Other values (2239) 36145
32.9%
ValueCountFrequency (%)
0 25280
23.0%
1 14656
13.3%
2 9274
 
8.4%
3 6441
 
5.9%
4 4741
 
4.3%
ValueCountFrequency (%)
7354262 1
< 0.1%
1153649 1
< 0.1%
697629 1
< 0.1%
488682 1
< 0.1%
429757 1
< 0.1%
Distinct3026
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.0928568
Minimum0
Maximum22063108
Zeros30590
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:01.810001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile243
Maximum22063108
Range22063108
Interquartile range (IQR)15

Descriptive statistics

Standard deviation69104.83341
Coefficient of variation (CV)86.04837265
Kurtosis94564.42371
Mean803.0928568
Median Absolute Deviation (MAD)3
Skewness298.0490336
Sum88312106
Variance4775478001
MonotonicityNot monotonic
2024-10-21T22:49:01.993326image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30590
27.8%
1 12901
 
11.7%
2 8565
 
7.8%
3 6161
 
5.6%
4 4617
 
4.2%
5 3639
 
3.3%
6 2997
 
2.7%
7 2449
 
2.2%
8 2107
 
1.9%
9 1811
 
1.6%
Other values (3016) 34128
31.0%
ValueCountFrequency (%)
0 30590
27.8%
1 12901
11.7%
2 8565
 
7.8%
3 6161
 
5.6%
4 4617
 
4.2%
ValueCountFrequency (%)
22063108 1
< 0.1%
3214655 1
< 0.1%
3154167 1
< 0.1%
1405547 1
< 0.1%
1304450 1
< 0.1%
Distinct2315
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.8580185
Minimum0
Maximum10900960
Zeros40477
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:02.176707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile122
Maximum10900960
Range10900960
Interquartile range (IQR)7

Descriptive statistics

Standard deviation34139.34977
Coefficient of variation (CV)86.02408968
Kurtosis94607.84083
Mean396.8580185
Median Absolute Deviation (MAD)1
Skewness298.1348167
Sum43640492
Variance1165495203
MonotonicityNot monotonic
2024-10-21T22:49:02.368208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40477
36.8%
1 15277
 
13.9%
2 8995
 
8.2%
3 5937
 
5.4%
4 4190
 
3.8%
5 3198
 
2.9%
6 2479
 
2.3%
7 2024
 
1.8%
8 1692
 
1.5%
9 1441
 
1.3%
Other values (2305) 24255
22.1%
ValueCountFrequency (%)
0 40477
36.8%
1 15277
 
13.9%
2 8995
 
8.2%
3 5937
 
5.4%
4 4190
 
3.8%
ValueCountFrequency (%)
10900960 1
< 0.1%
1596148 1
< 0.1%
1537710 1
< 0.1%
687404 1
< 0.1%
637044 1
< 0.1%
Distinct2340
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean406.2348384
Minimum0
Maximum11162148
Zeros41167
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:02.551560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile121
Maximum11162148
Range11162148
Interquartile range (IQR)7

Descriptive statistics

Standard deviation34966.43128
Coefficient of variation (CV)86.07442783
Kurtosis94511.91779
Mean406.2348384
Median Absolute Deviation (MAD)1
Skewness297.9431748
Sum44671614
Variance1222651316
MonotonicityNot monotonic
2024-10-21T22:49:02.743450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41167
37.4%
1 15090
 
13.7%
2 8805
 
8.0%
3 5802
 
5.3%
4 4207
 
3.8%
5 3107
 
2.8%
6 2477
 
2.3%
7 2068
 
1.9%
8 1672
 
1.5%
9 1460
 
1.3%
Other values (2330) 24110
21.9%
ValueCountFrequency (%)
0 41167
37.4%
1 15090
 
13.7%
2 8805
 
8.0%
3 5802
 
5.3%
4 4207
 
3.8%
ValueCountFrequency (%)
11162148 1
< 0.1%
1618507 1
< 0.1%
1616457 1
< 0.1%
718143 1
< 0.1%
667406 1
< 0.1%
Distinct1394
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.89764616
Minimum0
Maximum17.75
Zeros452
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size859.2 KiB
2024-10-21T22:49:02.919161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.01
Q13.79
median4.84
Q35.91
95-th percentile7.86
Maximum17.75
Range17.75
Interquartile range (IQR)2.12

Descriptive statistics

Standard deviation1.821012406
Coefficient of variation (CV)0.3718137952
Kurtosis2.342058567
Mean4.89764616
Median Absolute Deviation (MAD)1.06
Skewness0.5871682098
Sum538569.66
Variance3.316086184
MonotonicityNot monotonic
2024-10-21T22:49:03.119395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 957
 
0.9%
5 949
 
0.9%
6 763
 
0.7%
3 683
 
0.6%
4.5 558
 
0.5%
5.5 458
 
0.4%
0 452
 
0.4%
3.5 449
 
0.4%
4.67 431
 
0.4%
5.33 426
 
0.4%
Other values (1384) 103839
94.4%
ValueCountFrequency (%)
0 452
0.4%
0.05 1
 
< 0.1%
0.06 2
 
< 0.1%
0.07 3
 
< 0.1%
0.08 10
 
< 0.1%
ValueCountFrequency (%)
17.75 1
 
< 0.1%
17.25 1
 
< 0.1%
17.13 1
 
< 0.1%
17 5
< 0.1%
16.5 3
< 0.1%
Distinct1385
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size5.5 MiB
2024-10-21T22:49:03.518308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.73229664
Min length1

Characters and Unicode

Total characters410422
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)0.2%

Sample

1st row8.37
2nd row5.11
3rd row4.98
4th row8.84
5th row6.16
ValueCountFrequency (%)
4 1778
 
1.6%
6 1544
 
1.4%
3 1528
 
1.4%
5 1525
 
1.4%
4.50 944
 
0.9%
2 892
 
0.8%
0 873
 
0.8%
7 751
 
0.7%
3.50 739
 
0.7%
5.50 716
 
0.7%
Other values (1375) 98675
89.7%
2024-10-21T22:49:04.085031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 99621
24.3%
5 47867
11.7%
4 43364
10.6%
3 39958
9.7%
6 35387
 
8.6%
7 29095
 
7.1%
2 27259
 
6.6%
0 24983
 
6.1%
1 23102
 
5.6%
8 23036
 
5.6%
Other values (2) 16750
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 410422
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 99621
24.3%
5 47867
11.7%
4 43364
10.6%
3 39958
9.7%
6 35387
 
8.6%
7 29095
 
7.1%
2 27259
 
6.6%
0 24983
 
6.1%
1 23102
 
5.6%
8 23036
 
5.6%
Other values (2) 16750
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 410422
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 99621
24.3%
5 47867
11.7%
4 43364
10.6%
3 39958
9.7%
6 35387
 
8.6%
7 29095
 
7.1%
2 27259
 
6.6%
0 24983
 
6.1%
1 23102
 
5.6%
8 23036
 
5.6%
Other values (2) 16750
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 410422
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 99621
24.3%
5 47867
11.7%
4 43364
10.6%
3 39958
9.7%
6 35387
 
8.6%
7 29095
 
7.1%
2 27259
 
6.6%
0 24983
 
6.1%
1 23102
 
5.6%
8 23036
 
5.6%
Other values (2) 16750
 
4.1%
Distinct1338
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.5 MiB
2024-10-21T22:49:04.492603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.702414405
Min length1

Characters and Unicode

Total characters407136
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)0.2%

Sample

1st row7.93
2nd row4.79
3rd row4.60
4th row8.58
5th row6.15
ValueCountFrequency (%)
4 1789
 
1.6%
6 1662
 
1.5%
3 1590
 
1.4%
5 1581
 
1.4%
0 1338
 
1.2%
2 972
 
0.9%
4.50 929
 
0.8%
3.50 749
 
0.7%
5.50 689
 
0.6%
7 686
 
0.6%
Other values (1328) 97980
89.1%
2024-10-21T22:49:05.085124image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 98631
24.2%
5 46588
11.4%
4 42847
10.5%
3 40206
9.9%
6 34427
 
8.5%
2 28513
 
7.0%
7 27807
 
6.8%
0 25538
 
6.3%
1 23716
 
5.8%
8 22185
 
5.4%
Other values (2) 16678
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 407136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 98631
24.2%
5 46588
11.4%
4 42847
10.5%
3 40206
9.9%
6 34427
 
8.5%
2 28513
 
7.0%
7 27807
 
6.8%
0 25538
 
6.3%
1 23716
 
5.8%
8 22185
 
5.4%
Other values (2) 16678
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 407136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 98631
24.2%
5 46588
11.4%
4 42847
10.5%
3 40206
9.9%
6 34427
 
8.5%
2 28513
 
7.0%
7 27807
 
6.8%
0 25538
 
6.3%
1 23716
 
5.8%
8 22185
 
5.4%
Other values (2) 16678
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 407136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 98631
24.2%
5 46588
11.4%
4 42847
10.5%
3 40206
9.9%
6 34427
 
8.5%
2 28513
 
7.0%
7 27807
 
6.8%
0 25538
 
6.3%
1 23716
 
5.8%
8 22185
 
5.4%
Other values (2) 16678
 
4.1%